E-cigarette Dependence Research Articles

Social Media Exposure and Other Correlates of Increased e-Cigarette Use Among Adolescents During Remote Schooling: Cross-Sectional Study.

Little is known about the role of exposure to e-cigarette-related digital content, behavioral and mental health factors, and social environment on the change in adolescent e-cigarette use during COVID-19 shelter-in-place orders and remote schooling. The aim of the study was to examine changes in adolescent e-cigarette use during shelter-in-place and remote schooling in association with exposure to e-cigarette-related digital content and other correlates: stronger e-cigarette dependence, feeling lonely, inability to socialize, e-cigarette use to cope with shelter-in-place, and the number of family members aware of participants' e-cigarette use. A cross-sectional survey conducted between August 2020 and March 2021 included 85 California adolescents (mean age 16.7, SD 1.2 years; 39/85, 46% identified as female and 37/85, 44% as Hispanic) who reported e-cigarette use in the past 30 days. Multivariable penalized logistic regressions determined associations adjusted for age, race and ethnicity, and mother's education. The outcome of increased e-cigarette use was defined as more frequent use of e-cigarettes of the same or stronger nicotine or tetrahydrocannabinol concentration. Almost all respondents (83/85, 98%) reported using social media more since shelter-in-place, and 74% (63/85) reported seeing e-cigarette digital content. More than half (46/85, 54%) reported increased e-cigarette use during shelter-in-place. Most individuals who increased use were exposed to e-cigarette digital content (38/46, 83%) compared to those who did not increase e-cigarette use (25/39, 64%), but the association was nonsignificant after adjusting for demographics (adjusted odds ratio [AOR] 2.34, 95% CI 0.71-8.46). Respondents who felt lonely (AOR 3.33, 95% CI 1.27-9.42), used e-cigarettes to cope with shelter-in-place (AOR 4.06, 95% CI 1.39-13.41), or had ≥2 family members aware of participants' e-cigarette use (AOR 6.42, 95% CI 1.29-39.49) were more likely to report increased e-cigarette use. Almost all participants reported using social media more during shelter-in-place, with many respondents reporting increased e-cigarette use, and significant associations with loneliness and use to cope with shelter-in-place. Future interventions should consider leveraging digital platforms for e-cigarette use prevention and cessation and address the mental health consequences of the COVID-19 pandemic.

Health Risks Associated with Adopting New-Generation Disposable Products Among Young Adults Who Use E-Cigarettes.

New-generation disposable e-cigarettes have become increasingly popular among young adults in the USA since the FDA's partial flavor ban. This study aims to examine longitudinal changes in health risks among young adults who adopted these novel products, as well as the health effects of device types beyond the effects of other important e-cigarette characteristics. This study recruited e-cigarette users via voluntary response sampling from three college campuses in the USA to respond to four-wave online surveys conducted in four consecutive semesters. Among the participants who adopted disposables during the study, their health risks (dependence symptoms, respiratory symptoms, combustible tobacco use) and e-cigarette consumption characteristics (use frequency, nicotine concentration and flavors) before and after the adoption were compared using paired-sample t- or McNemar's tests. Generalized linear mixed models with a random intercept were conducted on data from the entire sample to investigate the effects of device type (tank, cartridge/pod, disposable) on health risks, controlling for other e-cigarette consumption characteristics. The study sample of 650 e-cigarette users were, on average, 20 years old, with 49% being male, 70% being White, and 13% being Hispanic. Adopting disposables may increase secondary dependence motives (t = 2.42, p < 0.05) and the use of higher levels of nicotine concentration (t = 2.09, p < 0.05) and sweet flavors (x2 = 22.53, p < 0.05) but decrease the number of times of vaping per day (t = -2.18, p < 0.05) and the use of menthol flavors (x2 = 4.57, p < 0.05). Tank use is associated with a higher level of primary dependence motives (b = 0.1998, p < 0.05) and a greater odds of using combustible tobacco (b = 0.4772, p < 0.05). Although disposable use is not associated with the likelihood of using combustible tobacco, it is associated with higher levels of both primary (b = 0.2158, p < 0.05) and secondary (b = 0.2533, p < 0.05) dependence motives. It is not the device type, but rather the frequency of vaping, that affects respiratory symptoms (b = 0.0602, p < 0.05). The findings indicate that when young adults switch to disposables, their e-cigarette dependence and use of sweet-flavored e-liquids increase. Even after controlling for use frequency, nicotine concentration and flavors, using disposables is related to not only instrumental motives that are influenced by psychological and environmental contexts but also heavy, automatic use that can operate without environmental cues. Given the health risks associated with disposable e-cigarettes, more comprehensive tobacco product regulations that consider the impact of device types may be needed.

Episodic future thinking reduces delay discounting among persons who use e-cigarettes.

There has been an alarming increase in e-cigarette dependence among young adults, many of whom would like to quit vaping nicotine but are finding it difficult to do so. Episodic future thinking (EFT), a cognitive intervention involving imagining future events, has been shown to reduce cigarette craving, demand intensity, and self-administration among cigarette smokers but has not been tested with e-cigarette users. This study tested if a brief EFT intervention decreases delay discounting and smoking choice using a within-subjects experimental design administered via Zoom. Daily young adult e-cigarette users attended a baseline session and two counterbalanced experimental sessions: (a) EFT in which participants preexperienced and described positive future events and (b) standardized episodic thinking, a control intervention in which participants described their experiences watching three short videos. Measures of craving, mood, and delay discounting across three commodities: Money, e-cigarette products, and food were completed pre- and postmanipulation. As predicted, monetary delay discounting showed a greater decrease following EFT relative to standardized episodic thinking (p = .006; ηp² = .229). There were no effects on craving or mood. Participants also completed a 40-min vaping versus money choice task. Approximately 70% of participants chose to abstain for the full 40 min after EFT compared to 60% after the control condition, a nonsignificant difference (p = .184). Additional research is needed to support the efficacy of EFT as an intervention for helping e-cigarette users increase their ability to abstain. The study demonstrates the feasibility of conducting experimental research on e-cigarettes in a virtual setting. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Abstract B017: Kick Vaping: Feasibility, acceptability, and preliminary impact of a vaping cessation text messaging intervention for Latino young adults

Abstract Objective: The purpose of this study was to assess the feasibility, acceptability, and preliminary impact of Kick Vaping among Latino young adults. Methods: Forty Latino young adults (ages 18 to 25) who were currently vaping received Kick Vaping, a vaping cessation text messaging intervention available in English and Spanish. Feasibility was measured by the eligibility rate (defined as the proportion of individuals screened who were eligible), enrollment rate (the proportion of eligible individuals who enrolled), and follow-up rate (the proportion of participants who completed the follow-up assessment at Month 3). Acceptability was measured by overall satisfaction with the intervention and perceived helpfulness. Preliminary impact was measured by self-reported 7-day point prevalence abstinence (not vaping, even a single puff, in the past seven days) and changes in self-efficacy. Results: A total of 203 individuals were identified, 61 completed the eligibility assessment, and 55 were eligible to participate in the study. Forty individuals consented to participate in the study and enrolled in Kick Vaping. The eligibility and enrollment rates were 30.0% (61/203) and 72.7% (40/55), respectively. At baseline, participants’ mean age was 22.3 years old (SD 2.1), 45.0% of participants were female, and 45.0% were heterosexual or straight. Half of the participants had a high school education or less (50.0%) and were currently employed. Fourteen (35.0%) participants reported speaking English and Spanish equally. Most participants used disposable devices (70%), vaped daily (97.5%), had low (37.5%) or medium (35.0%) e-cigarette dependence, and had attempted to quit in the past year (72.5%). At Month 3, the follow-up rate was 90% (36/40). Treating those lost to follow-up as participants who continued vaping, 75% (30/40) of participants self-reported 7-day point prevalence abstinence. Self-efficacy mean scores significantly increased from 30.65 (SD 8.07) at baseline to 50.11 (SD 10.57) at follow-up (p&amp;lt;0.01). Moreover, most participants (88.9%, 32/36) reported being satisfied/extremely satisfied with Kick Vaping. Additionally, most participants (83.3%, 30/36) reported that the intervention included “just the right amount of messages”. Lastly, most participants (86.1%, 31/16) reported that Kick Vaping helped them quit vaping “a lot”. Conclusion: It is feasible to recruit and retain Latino young adults in a vaping cessation text messaging intervention. Moreover, Kick Vaping generated high satisfaction and perceived helpfulness among Latino young adults, significantly increased self-efficacy, and resulted in a notable vaping cessation rate at Month 3. Additional testing in a randomized clinical trial is warranted to assess the efficacy of the intervention. Citation Format: Rafael H. Orfin, Jeffrey Wilmer Ramos Santiago, Ritsel Decena Soriano, Eliany Romero Acosta, Diana Bermudez, Yaneth L. Rodriguez, Dongmei Li, Irfan Rahman, Scott McIntosh, Deborah J. Ossip, Ana Paula Cupertino, Francisco Cartujano-Barrera. Kick Vaping: Feasibility, acceptability, and preliminary impact of a vaping cessation text messaging intervention for Latino young adults [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B017.

Outcomes of a Comprehensive Mobile Vaping Cessation Program in Adults Who Vape Daily: Cohort Study.

In the United States, e-cigarettes, or vapes, are the second most-commonly used tobacco product. Despite abundant smartphone app-based cigarette cessation programs, there are few such programs for vaping and even less supporting data. This exploratory, prospective open-label, single-arm, remote, initial cohort study of the Pivot vaping cessation program assessed enrollment and questionnaire completion rates, participant engagement and retention, changes in attitudes toward quitting vaping, changes in vaping behavior, and participant feedback. The aim was to establish early data in each of these areas to inform program improvements and future study design. U.S. adults aged ≥ 21 years who vape daily, report ≥ 5 vape sessions per day, and plan to quit vaping in the next 6 months were recruited online. Participants completed an online screening form, screening call, electronic informed consent, registration, and onboarding before beginning Pivot. Data were self-reported via app and web-based questionnaires. Outcomes focused on engagement and retention (i.e., weeks in the program, number of Pivot app openings, number of messages sent to coach); vaping attitudes (i.e., success to quit, difficulty to stay quit); vaping behavior (i.e., quit attempts, Penn State Electronic Cigarette Dependence Index, 7- and 30-day point prevalence abstinence [PPA], continuous abstinence [defined as ≥ 7-day PPA at 12 weeks + 30-day PPA at 26 weeks + 0 vaping sessions since 12 weeks]); and participant feedback. Seventy-three participants completed onboarding (intention-to-treat [ITT] sample); 68/73 (93%) completed the 12- and 26-week questionnaires (completer samples). On average, participants were active in Pivot for 13.8 (SD 7.3) weeks, had 87.3 (SD 99.9) app sessions, and sent 37.6 (SD 42.3) messages to their coach over 26 weeks. Success to quit and difficulty to stay quit (scale 1-10) improved from baseline to 12 weeks: 4.9 (SD 2.9) to 7.0 (SD 3.0) and 4.0 (SD 2.8) to 6.2 (SD 3.1), respectively; both P < .001. Most participants (64/73, 88%) made ≥ 1 quit attempt. At 26 weeks, ITT 7-day PPA, 30-day PPA and continuous abstinence rates were: 35/73 (48%), 33/73 (45%), and 22/73 (30%), respectively. Thirty-three participants did not achieve 7-day PPA at 26 weeks; their mean Penn State Electronic Cigarette Dependence Index score decreased from baseline (13.9, SD 3.1) to 26 weeks (10.8, SD 4.5) (mean change -3.2, SD 3.9, P < .001); almost half (16/33, 48%) had improvement in e-cigarette dependence category. At 2 weeks, 51/71 (72%) reported using Pivot increased their motivation to quit vaping; at 4 weeks, 55/70 (79%) reported using Pivot decreased the amount they vape per day. In this first evaluation of Pivot in adult daily vapers, questionnaire completion rates were >90%, average program engagement duration was approximately 14 weeks and most participants reported increased motivation to quit vaping. These and early cessation outcomes herein suggest a role for Pivot in vaping cessation and will inform associated future study and program improvements. ClinicalTrials.gov NCT05642598; https://clinicaltrials.gov/study/NCT05642598.

Understanding the motivational mechanisms for smoking and vaping among dual users and exclusive smokers

BackgroundUnderstanding the motivational processes that influence e-cigarette use in a laboratory setting may help elucidate mechanisms that support long-term ecigarette use, which could have significant clinical and public health consequences. MethodsSecondary analyses were conducted on data from exclusive smokers (N=47) and dual users (N=88) who underwent a laboratory ad lib use session. Participants were given 10minutes to smoke (exclusive smokers) or vape (dual users) as much as they wanted. Withdrawal was assessed pre- and post-use. Smoking and vaping behavior was coded from session videos. Person-level predictors included cigarette/ecigarette craving-relief expectancies, demographics, and cigarette/e-cigarette use and dependence. Smoking and vaping status was assessed at Year 1 using self-reported 30-day point prevalence. Data were analyzed using general linear models and logistic regressions. ResultsBoth groups reported reductions in withdrawal after product use, including cigarette craving. Baseline e-cigarette craving-relief expectancies, pre-session ecigarette craving, heaviness of e-cigarette use, and relative e-cigarette dependence were significant univariate predictors of continued vaping in dual users at Year 1 (ORs>1.04, ps<.05). Dual users and exclusive smokers did not differ on use behavior (i.e., average number of puffs, ps>.16). ConclusionsE-cigarette use alleviated withdrawal, including cigarette and e-cigarette craving, in dual users. Laboratory use behavior did not differ between dual users using e-cigarettes and exclusive smokers using cigarettes. Greater e-cigarette craving-relief expectancies, e-cigarette craving, heaviness of e-cigarette use, and morning product use pattern (‘relative dependence’) may reflect mechanisms that sustain e-cigarette use.

Kick Vaping: Feasibility, acceptability, and preliminary impact of a vaping cessation text messaging intervention for Latino young adults

Objective To assess the feasibility, acceptability, and preliminary impact of Kick Vaping among Latino young adults. Methods Forty Latino young adults (ages 18 to 25) who were currently vaping received Kick Vaping, a vaping cessation text messaging intervention available in English and Spanish. Feasibility was measured by the eligibility, enrollment, and follow-up rates. Acceptability was measured by overall satisfaction with the intervention. Preliminary impact was measured by self-reported 7-day point prevalence abstinence and changes in self-efficacy. Results Two hundred three individuals were identified, 61 were assessed for eligibility, and 55 were eligible. Forty individuals consented to participate and were enrolled in Kick Vaping. At baseline, most participants used disposable devices (70%), vaped daily (97.5%), had low (37.5%) or medium (35.0%) e-cigarette dependence, and had attempted to quit in the past year (72.5%). At Month 3, the follow-up rate was 90% (36/40). Treating those lost to follow-up as participants who continued vaping, 75% (30/40) of participants self-reported 7-day point prevalence abstinence. Self-efficacy mean scores significantly increased from 30.65 (SD 8.07) at baseline to 50.11 (SD 10.57) at follow-up (p < 0.01). Most participants (88.9%, 32/36) reported being satisfied/extremely satisfied with Kick Vaping. Conclusion It is feasible to recruit and retain Latino young adults in a vaping cessation text messaging intervention. Kick Vaping generated high satisfaction among Latino young adults, significantly increased self-efficacy, and resulted in a notable vaping cessation rate at Month 3. Additional testing in a randomized controlled trial is warranted to assess the efficacy of the intervention.

E-Cigarette Use Behavior and Expectancies Among Sexual Minority and Heterosexual College Student E-Cigarette Users

Background: College students who identify as a sexual minority (i.e., lesbian, gay, bisexual, or other sexual orientation) are at higher risk for e-cigarette use than their heterosexual or “straight” peers. However, little is known about factors, such as e-cigarette outcome expectancies, that might influence these differences in prevalence rates. Therefore, the current study examined differences between heterosexual and sexual minority college student e-cigarette users in terms of days of past-month e-cigarette use, e-cigarette dependence, and e-cigarette outcome expectancies. A secondary aim of the study was to examine whether outcome expectancies served as an explanatory mechanism in the association between sexual minority status and e-cigarette use frequency and dependence. Methods: Participants were heterosexual (n = 90; Mage = 19.65, SD = 2.70; 76.7% female; 77.8% White) and sexual minority (n = 44; Mage = 20.02, SD = 2.18; 68.2% female; 90.9% White) college student e-cigarette users who completed self-report measures. Results: Students who identified as a sexual minority reported greater e-cigarette dependence, more frequent past 30-day use, and greater negative consequences and positive reinforcement e-cigarette outcome expectancies. Follow-up mediation analyses indicated a significant indirect effect of sexual minority status on both days of past-month e-cigarette use and e-cigarette dependence through expectancies for negative consequences and positive reinforcement. Conclusions: These findings suggest that positive reinforcement and negative consequences outcome expectancies may be contributing to the disparities in e-cigarette use among college students who identify as a sexual minority and could be useful targets for cessation interventions for this population.

Psychometric evaluation of the Self-Report Habit Index for assessing habitual e-cigarette use behavior in high school adolescents

BackgroundE-cigarettes are the most-used nicotine product among adolescents, but limited psychometrically-sound, e-cigarette-relevant measures exist for adolescents. We examined psychometric properties of the Self-Report Habit Index (SRHI) for assessing adolescents’ habitual e-cigarette use. MethodsDuring Fall 2022, 4855 students from eight Connecticut high schools completed an anonymous survey. The analytic sample comprised 491 students who reported past-month e-cigarette use and completed the SRHI (Age M=15.94, SD=1.24 years, 56 % female, 37.1 % Hispanic, 57.6 % White). We examined the SRHI’s latent factor structure; internal reliability; measurement invariance and between-groups differences (e.g., nicotine vs. nicotine-free vaping); and associations with total e-cigarette flavors used in the past month, past-30-day vaping frequency, and e-cigarette dependence. ResultsThe SRHI’s 6-item, 1-factor structure was confirmed. Internal reliability was excellent. The SRHI was scalar invariant for all subgroups tested. Nicotine (vs. nicotine-free) and daily (vs. non-daily) e-cigarette use were associated with greater habitual e-cigarette use behavior. In adjusted models, habitual e-cigarette use was associated with using more e-cigarette flavors, vaping more frequently, and greater e-cigarette dependence. Habitual e-cigarette use incrementally accounted for variance in past-month flavors used and vaping frequency beyond dependence. ConclusionsThe SRHI evidenced solid psychometric properties for assessing habitual e-cigarette use behavior among high school students. Relationships between habitual use and frequency of use, e-cigarette flavors, and dependence might be expected as these constructs are associated with the three characterizing features of habitual behaviors: frequent repetition, cue-driven elicitation, and automaticity. Future prospective research can clarify the temporal ordering of habitual e-cigarette use and dependence in adolescents.

Assessing the Dependence and Perceptions of the Harm and Addictiveness of Electronic Cigarettes among Saudi University Students: A Cross-Sectional Study.

(1) Background: The rising prevalence of e-cigarette use among university students necessitates a comprehensive understanding of dependence levels and associated factors. This study investigates e-cigarette dependence among Jazan University students in Saudi Arabia. (2) Methods: With the use of a cross-sectional design, data were collected from 1187 students through an online survey from January to April 2024. Dependence levels were assessed using the Penn State Electronic Cigarette Dependence Index (PS-ECDI), and the Arabic version of the questionnaire was validated through pilot testing. Multivariable logistic regression analysis was employed to identify factors associated with e-cigarette dependence. (3) Results: The results indicated that among current e-cigarette users, 37.4% had low dependence, 34.4% had medium dependence, and 13.8% had high dependence. A significant proportion of current and ever users regarded e-cigarettes to be less harmful (50.6% and 44.4%, respectively) and less addictive (37.9% and 32.3%, respectively) than cigarettes. Significant factors influencing dependence included gender, with males showing higher odds of medium (AOR = 12.8, 95% CI: 3.4-47.6) and low dependence (AOR = 9.7, 95% CI: 2.5-37.3) compared to females. Longer duration of e-cigarette use (>2 years) was strongly associated with high dependence (AOR = 50, 95% CI: 7.7-324). Daily use and multiple quit attempts were also significant predictors of higher dependence levels. (4) Conclusions: These findings highlight the substantial e-cigarette dependence among university students and underscore the need for targeted interventions to address this growing public health concern.

Is Maintenance or Switching Between Freebase and Nicotine Salt Liquid Associated with Electronic Nicotine Delivery Systems Dependence?

Background Electronic nicotine delivery systems (ENDS) use one of two formulations of nicotine—freebase or nicotine salt. This study examines whether maintenance or switching between nicotine formulations is associated with ENDS dependence using longitudinal survey data. Methods 543 U.S. adults (21+) using ENDS frequently (5+ days/week) self-reported and uploaded photos of their most used ENDS liquids in wave 3–5 online surveys from September 2021 to April 2023. Nicotine formulation from photo data was used if available; otherwise, self-reported data were used. ENDS dependence was measured in each wave by a 4-item E-cigarette Dependence Scale (EDS: range 0–4, 4 being most dependent). Data were analyzed using ANCOVA. Results Participants using nicotine salt liquids in three waves reported the highest EDS in wave 5 (49.3%, EDS = 2.59), followed by participants switching from salt to freebase (3.2%, EDS = 2.58), participants switching from freebase to salt (10.1%, EDS = 2.52), participants using freebase in three waves (34.9%, EDS = 2.18), and participants changing back and forth (2.4%, EDS = 2.11). After controlling for smoking status, participants stably using nicotine salt and participants switching from freebase to salt reported significantly higher EDS than those stably using freebase (p < 0.01). Conclusions Over an 18-month period, people consistently using nicotine salt liquids and participants switching from freebase to nicotine salt were more likely to have a higher ENDS dependence than those consistently using freebase liquids. Understanding how switching between nicotine formulations relates to ENDS dependence can inform nicotine formulation and concentration regulations that may impact addiction.

An observational human laboratory assessment of nicotine delivery, vaping topography and subjective effects of usual brand electronic cigarette use among young adults.

To measure nicotine delivery, vaping topography and subjective effects of current generations of disposable, cartridge-based and other types of electronic cigarettes (e-cigarettes) among young adults. Observational, human laboratory assessment of e-cigarette use in Columbus, Ohio, USA (July 2020 to June 2021). Participants (n = 96, 60.4% female, age mean = 21.7 [standard deviation = 1.7] years, 82.4% white race) were identified via their participation in a cohort study or other convenience sampling and were 18 to 25 years old, vaped ≥4days/week for ≥4weeks and used other tobacco products for ≤5days of past 30 days. Participants completed a pre-vaping questionnaire, vaped their usual brand of e-cigarette ad libitum for 30 min and completed a post-vaping questionnaire. Outcome variables included pre- and post-vaping measures of plasma nicotine (t = 0 and t = 30, respectively) and craving and withdrawal symptoms, as well as vaping topography (e.g. flow rate and inter-puff interval), pre-vaping expectancies and post-vaping product appeal. Variables used to characterize the sample included demographics, e-cigarette and other tobacco use history, e-cigarette dependence and e-cigarette device characteristics (e.g. device type, flavor and nicotine form). Participants reported moderate nicotine dependence on average via the E-Cigarette Dependence Scale (mean = 6.9 [standard deviation = 4.0]). Following 30 min of ad libitum vaping, participants achieved substantial plasma nicotine boost (mean = 18.8 [standard deviation = 14.5] ng/mL), corresponding with statistically significant decreases in withdrawal symptoms measured via the Minnesota Nicotine Withdrawal Scale (pre-vaping mean = 9.0 [standard deviation = 5.1], post-vaping mean = 4.3 [standard deviation = 3.9]; P-value <0.0001). Pre-vaping, participants reported moderate vaping expectancies (e.g. mean = 2.5 [standard deviation = 1.0] on a scale from 0 to 4 for smell and taste expectancies); post-vaping, participants reported high satisfaction (mean = 4.6 [standard deviation = 1.2] on a scale from 1 to 7) and moderate reward (mean = 2.9 [standard deviation = 1.2]) and respiratory sensations (mean = 3.7 [standard deviation = 1.6]). Nearly half of participants (47.9%) used disposable e-cigarettes, and most used a mint/menthol or fruit flavored (99.0%) and nicotine salt (98.9%) e-liquid. Among young adults in the United States, the latest generations of e-cigarettes appear to deliver large quantities of nicotine (similar to cigarettes) and significantly relieve withdrawal symptoms, and they are appealing.

Does the time to nicotine dependence vary by internalizing symptoms for young people who use e-cigarettes? An analysis of the Population Assessment of Tobacco and Health (PATH) study, (Waves 1–5; 2013–2019)

ObjectiveTo determine the relationship between past-year internalizing symptoms and the time to first report of signs of nicotine dependence among young people. MethodsSecondary analysis using data from the Population Assessment of Tobacco and Health (PATH) (Waves 1–5; 2013–2019). The study included 2,102 (N = 5,031,691) young people (age 12–23 years) who reported past-30-day (P30D) e-cigarette use in one or more waves. Kaplan Meier curves, stratified by past year internalizing symptoms were used to estimate the time to the first report of three nicotine dependence symptoms (i.e., use within 30 min of waking, cravings, and really needing to use) following the first P30D e-cigarette use. Cox proportional hazard models were used to estimate crude and adjusted hazard ratios (AHR), comparing any past year internalizing symptoms to no past year internalizing symptoms. ResultsWe found no significant differences between past year internalizing symptoms and the time to the first report of cravings (AHR = 1.30, 95 % CI = 92–1.85), really needing to use (AHR = 1.31; 95 % CI = 0.92–1.89) and use within 30 min of waking for follow-up times 0–156 weeks (AHR = 0.84; 95 % CI = 0.55–1.30) and > 156 weeks (AHR = 0.41; 95 % CI = 0.04–4.67) respectively. ConclusionPast year internalizing symptoms did not modify the time to the first report of nicotine dependence among youth with P30D e-cigarette use. Further research is needed to understand how changing internalizing symptoms and e-cigarette use frequency influence nicotine dependence over time and, how this relationship impacts cessation behavior.

Pleasure and Satisfaction as Predictors of Future Cigarette and E-cigarette Use: A Novel Two-Stage Modeling Approach.

Subjective experience of e-cigarettes may be an important factor in helping people who use combustible cigarettes switch completely to e-cigarettes to reduce harm from smoking. This paper describes a novel two-stage analysis using pleasure and satisfaction responses from ecological momentary assessments (EMA) of both cigarette and e-cigarette use to predict future cigarette and e-cigarette tobacco use. This observational study included adult users of cigarettes and e-cigarettes who provided 7 days of EMA, capturing cigarette and e-cigarette use, followed by biweekly reports of cigarette and e-cigarette use over 1 year. Participants were 279 adults who provided both cigarette and e-cigarette responses during the EMA. We employed a two-stage analytic approach in which EMA data were used to predict subsequent levels of cigarette and e-cigarette use. In the first stage, EMA responses to cigarette and e-cigarette events were modeled via a mixed-effects location scale model to yield summaries of participants' means and variability on event-related ratings of pleasure and satisfaction. These EMA summaries served as predictors in the second stage analysis of the biweekly post-EMA longitudinal cigarette and e-cigarette use data. EMA pleasure and satisfaction ratings were similar for both products and predicted both longitudinal cigarette and e-cigarette use, even after controlling for baseline cigarette and e-cigarette dependence. Relatively higher levels of satisfaction with e-cigarettes were associated with greater decreases in cigarette use over time. Pleasure and satisfaction are important predictors of subsequent cigarette and e-cigarette use. Experienced subjective pleasure and satisfaction from e-cigarettes relative to cigarettes may be an important factor in helping individuals who smoke to switch completely to e-cigarettes as a harm reduction approach. In order to help sustain complete product switching and reduce dual use or relapse to smoking, e-cigarettes may need to deliver more satisfaction to the user compared to that experienced from cigarettes.

E-cigarette dependence and cooling flavor use are linked among youth

BackgroundE-cigarette flavors that produce cooling sensations may reduce nicotine harshness and enhance appeal among youth. While previous research has shown that use of cooling flavors is associated with more frequent vaping among youth, it is unknown whether the same holds true for e-cigarette dependence. This study examines the relationship between cooling flavor use and e-cigarette dependence among youth accounting for vaping frequency. MethodsIn Fall 2022, a survey was conducted among Connecticut high school students to assess past-month nicotine e-cigarette use, ever use of cooling flavors, cooling flavor types (e.g., fruit-cooling), and e-cigarette dependence. Analyses were restricted to those with past-month nicotine and nicotine-free e-cigarette use and complete data (n=204). Multivariable linear regressions were run to examine the association between cooling flavor use and e-cigarette dependence, adjusting for demographics, e-cigarette use characteristics, and other tobacco product use. Results78.4% of the sample used cooling e-cigarette flavors, with 55.0% using mint-cooling flavors and 52.5% using fruit-cooling flavors. Regression results observed that cooling flavor use was associated with higher e-cigarette dependence (ꞵ=1.53, SE=0.63, p=0.017), with those who used cooling flavors having higher e-cigarette dependence than those who did not (M=5.78 [SD=5.33] vs. 2.84 [3.19]). ConclusionsOur results suggest that cooling flavor use is significantly associated with e-cigarette dependence among youth. While regulations often target menthol flavor, tobacco control agencies should consider restricting any flavor that can produce cooling sensations, even if they are not traditional menthol products, as cooling flavors is associated with youth e-cigarette dependence.

Cytisinicline for Vaping Cessation in Adults Using Nicotine E-Cigarettes

The prevalence of e-cigarette use among US adults, especially young adults, is rising. Many would like to quit vaping nicotine but are unable to do so. Cytisinicline, a plant-based alkaloid, targets nicotinic acetylcholine receptors, reduces nicotine dependence, and helps adults to stop smoking cigarettes. Cytisinicline may also help e-cigarette users to quit vaping. To determine the efficacy and safety of cytisinicline vs placebo to produce abstinence from e-cigarette use in adults seeking to quit vaping nicotine. This double-blind placebo-controlled randomized clinical trial compared 12 weeks of treatment with cytisinicline vs placebo, with follow-up to 16 weeks. It was conducted from July 2022 to February 2023 across 5 US clinical trial sites. A total of 160 adults who vaped nicotine daily, sought to quit, and did not currently smoke cigarettes were enrolled, and 131 (81.9%) completed the trial. Participants were randomized (2:1) to cytisinicline, 3 mg, taken 3 times daily (n = 107) or placebo (n = 53) for 12 weeks. All participants received weekly behavioral support. Biochemically verified continuous e-cigarette abstinence during the last 4 weeks of treatment (weeks 9-12; primary outcome) and through 4 weeks posttreatment (weeks 9-16; secondary outcome). Missing outcomes were counted as nonabstinence. Of 160 randomized participants (mean [SD] age, 33.6 [11.1] years; 83 [51.9%] female), 115 (71.9%) formerly smoked (≥100 lifetime cigarettes). Continuous e-cigarette abstinence in cytisinicline and placebo groups occurred in 34 of 107 participants (31.8%) vs 8 of 53 participants (15.1%) (odds ratio, 2.64; 95% CI, 1.06-7.10; P = .04) at end of treatment (weeks 9-12) and in 25 of 107 participants (23.4%) vs 7 of 53 participants (13.2%) during weeks 9 to 16 (odds ratio, 2.00; 95% CI, 0.82-5.32; P = .15). There was no evidence, based on nonsignificant interactions, that cytisinicline efficacy differed in subgroups defined by demographic characteristics, vaping pattern, e-cigarette dependence, or smoking history. Cytisinicline was well tolerated, with 4 participants (3.8%) discontinuing cytisinicline due to an adverse event. In this randomized clinical trial, cytisinicline for 12 weeks, with behavioral support, demonstrated efficacy for cessation of e-cigarette use at end of treatment and was well tolerated by adults, offering a potential pharmacotherapy option for treating nicotine e-cigarette use in adults who seek to quit vaping. These results need confirmation in a larger trial with longer follow-up. ClinicalTrials.gov Identifier: NCT05431387.

Development and Psychometric Evaluation of a Novel Measure of Nicotine E-cigarette Withdrawal for use with Adolescents and Young Adults.

Nicotine withdrawal is a well-established construct that prompts continued nicotine product use and contributes to failed cessation efforts. Despite ongoing public health concerns about nicotine e-cigarette use in adolescents and young adults (AYAs), no psychometrically-sound measure of nicotine e-cigarette withdrawal exists for this population. A mixed methods approach comprising a literature review to identify existing nicotine withdrawal items; subject matter expert feedback on existing items and novel item generation; cognitive interviews assessing the measure's instructions, items, and response options; and a large quantitative validation survey (N = 997) was employed to develop the novel retrospective measure of nicotine e-cigarette withdrawal. A 25-item solution comprising four subscales - Negative Affect, Negative Physical Symptoms, Craving, and Appetite/Food - and an Overall Withdrawal score was supported. Internal reliability was excellent (mean alpha = 0.91), and scalar measurement invariance was reached for all subgroups tested (e.g., sex, age, exclusive e-cigarette use versus dual tobacco product use, daily versus non-daily nicotine vaping). Overall Withdrawal and its subscales evidenced concurrent validity with time to first vape in the morning, e-cigarette dependence, and previous vaping cessation attempts, although not each subscale was associated with each outcome. Importantly, cross-sectional incremental validity analyses indicated that retrospective withdrawal accounted for variance in each outcome above and beyond e-cigarette dependence. The novel retrospective AYA Nicotine E-cigarette Withdrawal Scale (AYA NEWS) evidenced strong psychometric properties for use in this population. Future research can determine whether the AYA NEWS can be used to assess acute e-cigarette nicotine withdrawal. While e-cigarette use remains the most prevalent form of nicotine product use among adolescents and young adults, there are limited options for psychometrically-sound measures of e-cigarette-related constructs in this population. Withdrawal from nicotine is associated with failed cessation attempts and continued use of nicotine-containing products, making it a critical construct within tobacco-related research. This study outlines the development and preliminary psychometric evaluation of a novel, retrospective measure of nicotine e-cigarette withdrawal. Study findings support using the Adolescent and Young Adult Nicotine E-cigarette Withdrawal Scale (AYA NEWS) to assess retrospective withdrawal from nicotine e-cigarettes in young people.

E-cigarette use reasons and associated e-cigarette use dependence among college students: A longitudinal examination

ObjectivePrevious studies have established an understanding of reasons for e-cigarette use and associated e-cigarette use patterns such as use frequency, yet the critical extension to associated e-cigarette dependence outcome remains under-researched. This study used longitudinal data to examine whether the reasons for e-cigarette use predict a higher/lower level of e-cigarette dependence. MethodsThis study recruited college students who were current e-cigarette users from Fall 2019 to Fall 2020 (four semesters) at three public universities in the Midwest and South of the U.S. Those who participated for at least two semesters were included (N = 366). Data were collected using a structured questionnaire. E-cigarette use dependence was assessed using the Penn State Electronic Cigarette Dependence Index. A linear mixed model with a random intercept and a random slope was conducted to examine the longitudinal association between reasons for e-cigarette use and dependence, controlling for demographics and other covariates. ResultsParticipants who used e-cigarettes for relaxation (β = 0.63, p < 0.05) and due to their good taste (β = 0.63, p < 0.05) had a higher level of e-cigarette dependence. Participants using e-cigarettes for experimental purposes had a lower level of e-cigarette dependence (β = -1.21, p < 0.01). ConclusionsThese findings highlight the importance of addressing e-cigarette use reasons and their relationship to e-cigarette dependence. Prevention and intervention efforts aimed at developing more effective strategies should consider the various e-cigarette use reasons associated with dependence risks, such as enhancing awareness of the use dependence risk related to good taste of e-cigarettes and use for relaxation, as well as incorporating early screenings for use.

Comparison of Indicators of Dependence for Vaping and Smoking: Trends Between 2017 and 2022 Among Youth in Canada, England, and the United States.

The current study sought to examine trends in indicators of dependence for youth vaping and smoking during a period of rapid evolution in the e-cigarette market. Data are from repeat cross-sectional online surveys conducted between 2017 and 2022 among youth aged 16-19 in Canada, England, and the United States (US). Participants were 23 145 respondents who vaped and/or smoked in the past 30 days. Four dependence indicators were assessed for smoking and vaping (perceived addiction, frequent strong urges, time to first use after waking, days used in past month) and two for vaping only (use events per day, e-cigarette dependence scale). Regression models examined differences by survey wave and country, adjusting for sex, age, race, and exclusive/dual use. All six indicators of dependence increased between 2017 and 2022 among youth who vaped in the past 30 days (p < .001 for all). For example, more youth reported strong urges to vape at least most days in 2022 than in 2017 (Canada: 26.5% to 53.4%; England: 25.5% to 45.4%; US: 31.6% to 50.3%). In 2017, indicators of vaping dependence were substantially lower than for smoking; however, by 2022, youth vaping was associated with a greater number of days used in the past month (Canada, US), shorter time to first use (all countries), and a higher likelihood of frequent strong urges (Canada, US) compared to youth smoking. From 2017 to 2022, indicators of vaping dependence increased substantially. By 2022, vaping dependence indices were comparable to those of smoking. Indicators of vaping dependence among youth have increased substantially since 2017 to levels that are comparable to cigarette dependence among youth who smoke. Future research should examine factors underlying the increase in dependence among youth who vape, including changes to the nicotine profile and design of e-cigarette products.

Indirect Effects of Body Mass Index and Sweet Taste Responsiveness on E-Cigarette Dependence: The Role of E-Cigarette Motives

Background : Recent research has shown obesity to be associated with e-cigarette use and appeal, but models have yet to examine how weight status may be related to e-cigarette dependence among e-cigarette users. Objectives : To increase our understanding of pathways from body mass index (BMI) to e-cigarette dependence, the present cross-sectional observational study investigated a model in which BMI, sweet taste responsiveness, and the interaction of BMI and sweet taste responsiveness are associated with e-cigarette dependence indirectly via seven conceptually-distinct motives for e-cigarette use. Data from several e-cigarette clinical laboratory research studies were pooled and analyzed; only current e-cigarette users were included in the analyses (N=330). Structural equation modeling was used to analyze the hypothesized model. Results : BMI was positively associated with lower social/environmental goad motives and higher weight control motives, and BMI x sweet taste interaction terms found that sweet taste responsiveness strengthened the association of BMI and weight control motives. BMI was not directly or indirectly associated with e-cigarette dependence nor was there a bivariate association between BMI and e-cigarette dependence. Sweet taste responsiveness was positively associated with greater affiliative attachment motives, cognitive enhancement motives, cue exposure-associative process motives, weight control motives, and affect enhancement motives. Sweet taste responsiveness was bivariately associated with e-cigarette dependence and mediation paths show indirect relations to e-cigarette dependence via three of the seven motives. Conclusions : The findings suggest that sweet taste responsiveness, opposed to BMI, is associated with a wider range of e-cigarette use motives and indirectly relates to e-cigarette dependence via several e-cigarette use motives.